Reinforcement Learning With Metacognitive Feedback Is Offered As A Next-Gen Way To Shape AI LLMs

New method to tune LLMs is RLMF, reinforcement learning with metacognitive feedback. It is akin to RLAIF and somewhat like ...
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Security

Security Journey announces new AI/LLM and API learning paths

Pittsburgh, PA, November 14, 2023 – Security Journey, a secure coding training provider, today launched two new Topic-Based learning paths supporting the recently published OWASP Top 10 2023 ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Gizmodo

Learning With AI Falls Short Compared to Old-Fashioned Web Search

In virtually all the ways that matter, getting summarized information from AI models was less educational than doing the work of search. Reading time 4 minutes This article originally appeared on The ...
Forbes

The Role Of Knowledge Graphs In Overcoming LLM Limitations

While Large Language Models (LLMs) like LLama 2 have shown remarkable prowess in understanding and generating text, they have a critical limitation: They can only answer questions based on single ...
The Conversation

Learning with AI falls short compared to old‑fashioned web search

Since the release of ChatGPT in late 2022, millions of people have started using large language models to access knowledge. And it’s easy to understand their appeal: Ask a question, get a polished ...